#ms-lesion-segmentation News & Analysis

Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models

Researchers argue that Multiple Sclerosis lesion segmentation models are inadequately evaluated using only Dice scores, ignoring lesion-wise detection performance and metrics relevant to clinical practice. The paper proposes rethinking evaluation frameworks to better assess deep learning models for real-world hospital deployment in MS diagnosis and progression monitoring.